{"id":"W2561025861","doi":"10.1109/vppc.2016.7791727","title":"Modeling an Electric Vehicle Lithium-Ion Battery Pack Considering Low Temperature Behavior","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Bond graph; Battery pack; Electric vehicle; Battery (electricity); Thermal; Lithium-ion battery; Topology (electrical circuits); Lithium (medication); Representation (politics); Automotive engineering; Computer science; Materials science; Simulation; Engineering; Electrical engineering; Thermodynamics; Power (physics); Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009873314,0.0002132214,0.0001811992,0.000219647,0.00007924691,0.00006115023,0.0002827052,0.0002173912,0.000168296],"category_scores_gemma":[0.00005999639,0.0001550603,0.00004249971,0.0002559443,0.00003472535,0.0006034023,0.00008863678,0.0003688913,0.0001232605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700977,"about_ca_system_score_gemma":0.00001843817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006061217,"about_ca_topic_score_gemma":0.0000115217,"domain_scores_codex":[0.9986147,0.00002110848,0.0002239682,0.0003222797,0.0002223443,0.0005956147],"domain_scores_gemma":[0.9992213,0.00006136321,0.00001151734,0.0005332126,0.0000669814,0.0001056303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005325258,0.00002117419,0.0006226179,0.00002057894,0.000008473638,0.00002807927,0.00001485043,0.01690635,0.9572664,0.00005459839,0.0001987672,0.02485273],"study_design_scores_gemma":[0.0003736157,0.00007299189,0.0004820362,0.0000596109,0.000006093222,0.00002808862,0.00005924463,0.180193,0.8178766,0.0003841723,0.000101952,0.0003625769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725884,0.000118864,0.02446381,0.0002332978,0.0001232563,0.000215328,0.000005043742,0.001942698,0.000309266],"genre_scores_gemma":[0.9973474,0.0001308013,0.001948334,0.00006276486,0.00007611477,0.00007727384,0.00000305833,0.00007246735,0.0002817528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1632867,"threshold_uncertainty_score":0.6323176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192553946909411,"score_gpt":0.2600392856764995,"score_spread":0.2407838909855584,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}